Notebook

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Plotly's Python library is free and open source! Get started by downloading the client and reading the primer.
You can set up Plotly to work in online or offline mode, or in jupyter notebooks.
We also have a quick-reference cheatsheet (new!) to help you get started!

Version Check¶

Note: Linear fits are available in version 1.9.2+
Run pip install plotly --upgrade to update your Plotly version

In [1]:

import plotly
plotly.__version__

Out[1]:

'1.12.12'

Linear Fit¶

In [2]:

# Learn about API authentication here: https://plotly.com/python/getting-started
# Find your api_key here: https://plotly.com/settings/api

import plotly.plotly as py
import plotly.graph_objs as go

# Scientific libraries
from numpy import arange,array,ones
from scipy import stats


xi = arange(0,9)
A = array([ xi, ones(9)])

# (Almost) linear sequence
y = [19, 20, 20.5, 21.5, 22, 23, 23, 25.5, 24]

# Generated linear fit
slope, intercept, r_value, p_value, std_err = stats.linregress(xi,y)
line = slope*xi+intercept

# Creating the dataset, and generating the plot
trace1 = go.Scatter(
                  x=xi, 
                  y=y, 
                  mode='markers',
                  marker=go.Marker(color='rgb(255, 127, 14)'),
                  name='Data'
                  )

trace2 = go.Scatter(
                  x=xi, 
                  y=line, 
                  mode='lines',
                  marker=go.Marker(color='rgb(31, 119, 180)'),
                  name='Fit'
                  )

annotation = go.Annotation(
                  x=3.5,
                  y=23.5,
                  text='$R^2 = 0.9551,\\Y = 0.716X + 19.18$',
                  showarrow=False,
                  font=go.Font(size=16)
                  )
layout = go.Layout(
                title='Linear Fit in Python',
                plot_bgcolor='rgb(229, 229, 229)',
                  xaxis=go.XAxis(zerolinecolor='rgb(255,255,255)', gridcolor='rgb(255,255,255)'),
                  yaxis=go.YAxis(zerolinecolor='rgb(255,255,255)', gridcolor='rgb(255,255,255)'),
                  annotations=[annotation]
                )

data = [trace1, trace2]
fig = go.Figure(data=data, layout=layout)

py.plot(fig, filename='Linear-Fit-in-python')

Out[2]:

u'https://plotly.com/~PythonPlotBot/162'

In [4]:

from IPython.display import display, HTML

display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />'))
display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))

! pip install git+https://github.com/plotly/publisher.git --upgrade
import publisher
publisher.publish(
    'linear-fits.ipynb', 'python/linear-fits/', 'Linear Fit',
    'Create a linear fit / regression in Python and add a line of best fit to your chart.',
    title = 'Linear Fit',
    name = 'Linear Fit',
    has_thumbnail='true', thumbnail='thumbnail/linear_fit.jpg', 
    language='python', page_type='example_index',
    display_as='statistics', order=10,
    ipynb= '~notebook_demo/139')

Collecting git+https://github.com/plotly/publisher.git
  Cloning https://github.com/plotly/publisher.git to /private/var/folders/ld/6cl3s_l50wd40tdjq2b03jxh0000gp/T/pip-yrr9lh6f-build
Installing collected packages: publisher
  Found existing installation: publisher 0.10
    Uninstalling publisher-0.10:
      Successfully uninstalled publisher-0.10
  Running setup.py install for publisher ... - \ | done
Successfully installed publisher-0.10

In [ ]: